Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 8,851 to 8,860 of 208,441 articles

Development and External Validation of a Machine Learning-Based Risk Classification Score for Prostate Cancer-Specific Cardiovascular Risk.

JCO oncology practice
PURPOSE: Patients with prostate cancer (PC) face elevated cardiovascular (CV) risk. Conventional CV risk scores are often poorly calibrated for PC and require laboratory tests that are not routinely available in PC clinics, limiting oncology use. MET... read more 

Unifying pKa and Protonation Prediction with Sequence-Based Deep Learning.

Journal of chemical information and modeling
Predictions of pKa values provide insights into key aspects of molecular behavior, including solubility, lipophilicity, and binding affinity. Despite their importance, experimental microscopic pKa data remain scarce, creating a bottleneck in the trai... read more 

Guidance on artificial intelligence use for rapid evidence mapping of early childhood intervention outcome measures.

Developmental medicine and child neurology
AIM: To synthesize research evidence on the psychometric properties of outcome measures alongside practical implementation considerations relevant to children, families, practitioners, and services, and produce evidence-based practice resources to su... read more 

Creation of an mHealth Infrastructure to Support the Development and Delivery of mHealth Interventions: Protocol for Demonstration Projects Addressing Smoking Cessation in Cancer Care.

JMIR research protocols
BACKGROUND: Cancer remains a leading cause of morbidity worldwide. To reduce this burden, scalable, effective approaches are needed to address modifiable risk factors for cancer and support behavioral self-management. With smartphone ownership now ne... read more 

Psychosocial Stress in the Chinese Community: Speech Analytics Through Linguistic and Acoustic Fusion Using Machine Learning.

JMIR biomedical engineering
BACKGROUND: Family caregivers experience significant stress due to intensive caregiving activities, making them highly susceptible to adverse psychosocial health conditions. Early detection of this stress is crucial for timely interventions to preven... read more 

IPSBrain: A Unified Intelligent Data Analysis Platform for Multimodal Experimental Characterization at Advanced Photon Source.

The journal of physical chemistry. A
Advanced photon sources deliver X-ray with unprecedented brilliance and coherence, facilitating sophisticated multimodal characterization of diverse materials while simultaneously generating data volumes that far exceed the capacity of traditional, e... read more 

Assessment system for short-term lower cranial nerve dysfunction following medulla oblongata glioma surgery: risk stratification and optimal surgical strategy.

Journal of neurosurgery
OBJECTIVE: Medullary gliomas pose significant surgical risks, particularly the risk of postoperative lower cranial nerve (LCN) dysfunction, which profoundly affects quality of life. The lack of standardized risk assessment hinders optimal surgical pl... read more 

Utilization of artificial intelligence-based writing assistance in contemporary spine literature.

Journal of neurosurgery. Spine
OBJECTIVE: With the advent of artificial intelligence (AI), scientific research and writing has benefitted from large language models to generate hypotheses, evaluate data, and draft manuscripts. However, this brings into question the prevalence, imp... read more 

A recurrent interferon, stress, and survival axis identifies a rare malignant programme across glioblastoma single-cell, spatial, and longitudinal cohorts.

Computers in biology and medicine
Glioblastoma exhibits profound intratumoral heterogeneity and rapid adaptation under stress, complicating durable therapeutic control. Here, a biologically grounded transcriptional axis is defined by three complementary modules capturing type I inter... read more 

The impact of competition mechanisms on primary school students' digital game-based mathematics learning.

Acta psychologica
The impact of competition mechanisms on students' learning outcomes in Digital Game-based Learning remains controversial, especially regarding its role in the mathematical ability development of primary school students. To investigate whether competi... read more